Urban flood hazard analysis
Climate change will lead to more extreme precipitation events for many cities in the world. In support of climate adaptation planning, there is a need for a flood hazard analysis at local scale before and after climate scenarios. Such analysis has, however, difficulties for several reasons: climate model outputs are available at a scale that is too coarse for urban hydrological impact analysis; uncertainties in the future climate projections have to be accounted for; detailed 2-D urban flood modelling, mapping and analysis is time and resource demanding; requires high resolution data that is not always available; hydrologists and water system experts do not have the knowledge and/or capacity to deal with climate scenario development.
Service that provides information about the extent of pluvial flood hazard for different probabilities of occurrence and at high resolution (street level) in the city, before and after climate change.
Actual system proven in operational environment (competitive manufacturing).
The solution is used successfully in a structurally operational environment. The user can and wants to recommend the solution to others.
The solution is used successfully in a structurally operational environment. The user can and wants to recommend the solution to others.
Has been applied already to several European cities.
How does it work?
The service consists of the following steps: (1) Statistical downscaling of the results of a large ensemble of available global and regional climate models, in order to obtain climate scenarios on extreme precipitation for different time scales and return periods T at the local scale of a specific city or municipality; (2) Rainfall intensity - duration - frequency (IDF) curves and synthetic design storms (storms for given return periods) obtained based on local time series of precipitation data; (3) IDF curves and T-year storms after climate scenarios; (4) High resolution urban pluvial flood model set up based on dual drainage approach: 1-D sewer network model integrated with a 2-D surface inundation model; (5) Detailed 2-D pluvial flood hazard maps obtained for different return periods before and after climate change, and taking climate change uncertainties into account.
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